Kubernetes adoption is no longer the hard part. Running it efficiently is.
As organizations scale their container workloads across multiple clusters and cloud providers, a familiar pattern emerges: infrastructure costs climb, resource waste compounds silently, and platform teams spend more time firefighting than building. The tooling to address this exists — but choosing the right approach matters more than most teams realize.
That's the backdrop behind the partnership between Kloia and Kubeadapt.io — two companies that believe Kubernetes cost optimization should be practical, transparent, and built for real engineering workflows.
About Kloia
Kloia is a technology consulting company specializing in DevOps, cloud-native transformation, and platform engineering. As a CNCF member, Kubernetes Certified Service Provider (KCSP), and AWS Premier Tier Services Partner with Amazon EKS Delivery validation, Kloia brings verified, deep expertise across Kubernetes, CI/CD, observability, and multi-cloud architecture.
With offices across London, Istanbul, Amsterdam, Dubai, and beyond, Kloia helps organizations modernize their infrastructure and build scalable, reliable platforms. Their team holds CKA and CKAD certifications, and their consulting model is hands-on — they join your teams to implement, operate, and continuously improve the platforms they build.
"Many teams struggle with rising Kubernetes costs as their environments grow," said Dorian Sezen, CEO of Kloia. "Working with Kubeadapt.io allows us to offer a practical way to optimize workloads and run more efficient platforms without adding complexity."
The Problem: Kubernetes Cost Optimization Is Harder Than It Looks
Most organizations overprovision their Kubernetes clusters by 50–70%. The reasons are understandable — nobody wants to be the engineer whose cost-cutting caused an outage at 2 AM. So teams set generous resource requests, add buffer nodes, and watch monthly cloud bills grow quarter over quarter.
The challenge isn't awareness. Platform teams know they're overspending. The challenge is acting on it safely:
- Rightsizing without risk: How do you reduce CPU and memory requests without triggering OOM kills or throttling?
- Visibility without noise: How do you separate actionable savings from dashboard clutter?
- Governance without friction: How do you prevent cost waste before it reaches production, without slowing down developers?
- Planning without guesswork: How do you model infrastructure changes (spot instances, ARM migration, node consolidation) before committing?
These are the questions Kloia's clients ask regularly. And they're exactly what Kubeadapt was built to answer.
What Kubeadapt Brings to the Table
Kubeadapt is a Kubernetes cost optimization and observability platform designed around one principle: give teams the information and tools to act, without taking control away from them.
Unlike black-box automation tools that make changes on your behalf, Kubeadapt provides deep visibility, actionable recommendations, and one-click fixes — keeping engineers in the driver's seat.
Deep Cost Observability
Kubeadapt delivers the most detailed cost visibility in the market. Not just cluster-level totals, but granular breakdowns by namespace, workload, container, team, and department — with historical trends going back 90 days. The Cost Explorer supports custom queries, allocation tracking, infrastructure cost analysis, and forecast modeling. Teams can finally answer "who's spending what, and why" with precision.
Workload Rightsizing
Container-level rightsizing recommendations based on actual usage patterns — not just averages, but p50, p75, p95, and p99 metrics. Kubeadapt flags over-provisioned deployments, abandoned workloads, and misconfigured resource limits, then provides one-click fixes to apply changes safely. Engineers see exactly what will change and why before they act.
Capacity Planning and Infrastructure Optimization
A full capacity planning suite that goes beyond simple utilization charts. Kubeadapt analyzes node groups, pod density, spot vs. on-demand distribution, availability zone costs, and utilization patterns by hour. It includes:
- Spot migration assessment — workload-level eligibility scoring with risk analysis and blocker detection
- Graviton/ARM analysis — identify which node groups can migrate to ARM-based instances, with savings projections and migration complexity ratings
- What-if simulator — model the impact of switching to spot, consolidating node pools, or migrating to Graviton before making any changes
- Node group visualization — see your current and optimized infrastructure side by side, with per-node cost and utilization data
Best Practices and Compliance
Automated checks against Kubernetes best practices — resource limits, PodDisruptionBudgets, probe configuration, replica strategies, and more. Each finding comes with context, impact assessment, and remediation guidance. This isn't a generic compliance scan — it's tailored to cost and reliability trade-offs.
Cost Prevention (Cost Gates)
Kubeadapt's cost prevention features stop waste before it reaches production. With GitOps integration (GitHub, GitLab, ArgoCD, Flux), cost policies evaluate deployments at PR time:
- Cost policies that block, warn, or require approval when deployments exceed thresholds
- PR-level cost impact analysis with risk scoring and configuration change diffs
- Approval workflows with multi-approver support and role-based overrides
- Policy analytics — track how much waste was prevented, blocked, or overridden over time
Savings Initiatives and Team Performance
Create structured optimization campaigns. Select recommendations across clusters, assign them to teams, set deadlines, and track completion. Department and team-level performance dashboards show who's capturing savings and where attention is needed — enabling FinOps culture without finger-pointing.
Smart Alerting and Integrations
Configurable alerts with Slack integration, custom thresholds, and severity routing. Cloud cost integration pulls in AWS, Azure, and GCP billing data alongside Kubernetes-level costs for a unified view.
CLI Access
A dedicated CLI for teams that prefer terminal workflows — query costs, view recommendations, and apply changes without leaving the command line.
LLM-Powered Optimization
AI-assisted analysis that provides natural-language explanations of cost patterns, anomalies, and optimization opportunities — making complex infrastructure decisions accessible to broader teams.
CO2e and Energy Consumption Reporting
Track the environmental impact of your infrastructure alongside costs. Kubeadapt reports on energy consumption and CO2e emissions, helping organizations meet sustainability goals and regulatory requirements.
Why Kubeadapt Over CAST AI?
When evaluating Kubernetes cost optimization tools, CAST AI is often in the conversation. It's a capable platform — but its approach reflects a fundamentally different philosophy. Here's how the two compare, and why Kloia chose Kubeadapt:
Feature Comparison
| Feature | Kubeadapt | Kubecost | CAST AI |
|---|---|---|---|
| Cost Observability | Yes (most detailed) | Yes | Limited |
| Workload Rightsizing | Yes | Yes | Yes (automated) |
| Historical Cost & K8s Observability | Yes (most detailed) | Yes | Limited |
| Saving Opportunities | Yes | Yes | Partial |
| Spot Migration Assessment | Yes | Yes | Yes |
| Best Practices | Yes | No | Yes (most detailed) |
| Capacity Planning | Yes (most detailed) | No | Yes (auto-apply) |
| Smart Alerting | Yes | Yes | Yes |
| CLI | Yes | Partial (HTTP Interface) | No |
| Network Cost | Yes | Partial | Yes |
| Custom Dashboards | Yes | Yes | No |
| LLM Optimization | Yes | No | Yes |
| Cloud Cost Integration | Yes | Yes | Yes |
| Adapt Features | March 2026 | No | Yes |
| RI & SP Utilizations | Yes | No | Yes |
| CO2e & Energy Consumption Reporting | Yes | Yes | No |
The Key Differences
Observability-first vs. automation-first. CAST AI leads with automation — it wants to manage your nodes, resize your workloads, and handle scaling decisions for you. That's powerful when it works, but it means giving up control. Kubeadapt leads with observability and recommendations. You see everything, understand the trade-offs, and decide when and how to act. For consulting partners like Kloia who work across diverse client environments, this transparency is essential.
Depth of cost visibility. CAST AI's cost observability is limited compared to Kubeadapt's granular breakdown by container, namespace, team, and department with full historical data. When you're helping a client understand where their money is going, surface-level dashboards aren't enough.
No vendor lock-in. Kubeadapt uses Kubernetes-native APIs exclusively. There are no platform-level modifications, no proprietary agents taking control of your autoscaler, no changes to your cluster that can't be cleanly reversed. CAST AI's automation requires deeper integration that creates dependency.
Custom dashboards and reporting. Kubeadapt supports custom dashboards and flexible cost queries — critical for consulting engagements where every client has different reporting needs. CAST AI lacks custom dashboard capabilities.
CLI and developer workflow integration. Kubeadapt offers a full CLI alongside GitOps cost gates. CAST AI has no CLI, and its developer workflow integration is primarily focused on automated changes rather than developer empowerment.
Environmental reporting. Kubeadapt includes CO2e and energy consumption tracking. CAST AI does not.
Why Kloia Chose Kubeadapt
For a consulting firm that operates across dozens of client environments, the choice of tools isn't just about features — it's about trust, flexibility, and fit.
Transparency builds client trust. Kloia's clients need to understand what's being recommended and why. Kubeadapt's recommendation engine shows the data behind every suggestion — usage percentiles, cost projections, risk assessments. There are no opaque "trust us" optimizations.
Flexibility across environments. Kloia works with AWS, Azure, GCP, and on-premises clusters. Kubeadapt supports all of them without requiring cloud-specific agents or proprietary infrastructure. One tool, every environment.
Safe, incremental optimization. Rather than automated changes that could impact production workloads, Kubeadapt's one-click fixes and cost gates let teams optimize at their own pace. For clients in regulated industries or with strict change management processes, this is non-negotiable.
FinOps enablement, not just cost cutting. The initiatives system, team performance tracking, and department-level cost allocation help Kloia build lasting FinOps practices at client organizations — not just one-time savings.
Fast time-to-value. Cluster onboarding takes minutes, not weeks. Kloia can demonstrate value in the first meeting with a client, showing real savings opportunities within the first hour of connecting a cluster.
"We evaluated several tools in this space. What stood out about Kubeadapt was the depth of visibility without the overhead of automation we didn't need," said Dorian Sezen. "Our clients want to understand their infrastructure — not hand over the keys to it."
What This Partnership Means
Together, Kloia and Kubeadapt.io offer a complete Kubernetes cost optimization engagement:
- Assessment: Connect clusters, identify waste, and quantify savings opportunities — often within the first day
- Strategy: Build a prioritized optimization roadmap based on actual data, not estimates
- Implementation: Apply rightsizing, spot migration, and infrastructure changes with full visibility and safety controls
- Governance: Set up cost gates, alerting, and team-level accountability to prevent waste from recurring
- Continuous improvement: Track initiatives, measure captured savings, and report progress to stakeholders
This isn't a vendor relationship — it's a shared approach to helping organizations run Kubernetes the way it should be run: efficiently, reliably, and with full visibility.
Get Started
Interested in optimizing your Kubernetes costs with Kloia and Kubeadapt?
Questions? Contact Kloia at info@kloia.com
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